JOURNAL OF TEXTILE RESEARCH ›› 2017, Vol. 38 ›› Issue (02): 68-74.doi: 10.13475/j.fzxb.20161001707
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| [1] KUMAR A. Computer-vision-based fabric defect detection: a survey [J]. Industrial Electronics, IEEE Transactions on, 2008,55(1): 348-363. [2]ZHANG Y, JIANG G, YAO J, et al. Segmentation of jacquard warp-knitted fabric image based on hierarchical Markov random field model[J]. Journal of Textile Research, 2012, 33 (12): 102-106. [3] 潘如如, 高卫东, 钱欣欣等. 基于互相关的印花织物疵点检测[J]. 纺织学报, 2010, 31(12):134-138. [3]潘如如, 高卫东, 钱欣欣等. 基于互相关的印花织物疵点检测[J]. 纺织学报, 2010, 31(12):134-138. PAN Ruru, GAO Weidong, QIAN Xinxin et al. Defect detection of printed fabrics using normalized cross correlation[J]. Journal of Textile Research, 2010, 31(12):134-138. [4]NGAN H Y T, PANG G K H, YUNG S P, et al. Wavelet based methods on patterned fabric defect detection[J]. Pattern Recognition, 2005, 38(4): 559–576. [5]NGAN H Y T, YUNG S P, Automated fabric defect detection-A review, Image and Vision Computing, 2011, 29(7): 442-458. [6] NG M K, NGAN H Y T, YUAN X, et al. Patterned Fabric Inspection and Visualization by the Method of Image Decomposition[J]. IEEE Transactions on Automation Science & Engineering, 2014, 11(3):943 – 947. [7] 景军锋, 范晓婷, 李鹏飞等. 应用Gussian回代交替方向图像分解算法的色织物疵点检测[J]. 纺织学报, 2016,37(6):136-141. JING Junfeng, FAN Xiaoting, LI Pengfei et al. Yarn-dyed fabric defect detection based on Gaussian back substitution image decomposition[J]. Journal of Textile Research, 2016, 37(6):136-141. [8] NGAN H Y T, PANG G K H. Novel method for patterned fabric inspection using Bollinger bands[J]. Optical Engineering, 2006, 45(8): 087202-087217. [9] NGAN H Y T, PANG G K H. Regularity analysis for patterned texture inspection[J]. IEEE Transactions on Automation Science & Engineering, 2009, 6(1):131 - 144. [10]TAJERIPOUR F, KABIR E, SHEIKHI A. Defect Detection in Patterned Fabrics Using Modified Local Binary Patterns[C], IEEE International Conference on Computational Intelligence and Multimedia Applications, 2007,2:263-267. [11]NGAN H Y T, PANG G K H, YUNG N H C. Performance Evaluation for Motif-Based Patterned Texture Defect Detection[J]. IEEE Transactions on Automation Science & Engineering, 2010, 7(1):58-72. [12]朱丹丹. 基于图像分析的色织物疵点检测研究[D]. 江南大学, 2014. ZHU Dandan. Research of Defect Detection for Yarn-dyed Fabric Based on Image Analysis[D]. Jiangnan University, 2014. [13] 李文羽. 基于机器视觉和图像处理的色织物疵点自动检测研究[D]. 东华大学, 2014. LI Wenyu. Research on Automatic Detection for Yarn-dyed Fabirc Defect Based on Machine Vision and Image Processing[D]. Donghua University, 2014. [14]JING J, LIU S, LI P, et al. The fabric defect detection based on CIE L* a* b* color space using 2-D Gabor filter[J]. The Journal of The Textile Institute, 2015，107(10): 1-9. [15]王文远. 基于图像信噪比选择优化高斯滤波尺度[J]. 电子与信息学报, 2009, 31(10):2483-2487. WANG Wenyuan, Selecting the Optimal Gaussian Filtering Scale via the SNR of Image[J]. Journal of Electronics&Information Technology, 2009, 31(10): 2483-2487. [16] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet Classification with Deep Convolutional Neural Networks[J]. Advances in Neural Information Processing Systems, 2012, 25(2):1-9. [17] 余永维, 殷国富, 殷鹰等. 基于深度学习网络的射线图像缺陷识别方法[J]. 仪器仪表学报, 2014, 35(9): 2012- 2019. YU Yongwei, YIN Guofu, YIN Ying et al. Defect recognition for radiographic image based on deep learning network[J]. Chinese Journal of Scientific Instrument, 2014, 35(9):2012-2019. [18] WllAMPWSKI B M, CECATUI C, KOLBYSZ J, et al. A Novel RBF Training Algorithm for Short-term Electric Load Forecasting and Comparative Studies[J]. IEEE Transactions on Industrial Electronics, 2015, 62(10):1-1. [19] TAO W, JIN H, ZHANG Y. Color image segmentation based on mean shift and normalized cuts[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2007, 37(5): 1382-1389. |
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